Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging –Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease

Peripheral artery disease (PAD) is associated with impaired blood flow in the lower extremities and histopathologic changes of the skeletal calf muscles, resulting in abnormal microvascular perfusion. We studied the use of convolution neural networks (CNNs) to differentiate patients with PAD from matched controls using perfusion pattern features from contrast-enhanced magnetic resonance imaging (CE-MRI) of the skeletal calf muscles. We acquired CE-MRI based skeletal calf muscle perfusion in 56 patients (36 patients with PAD and 20 matched controls).

Source: The American Journal of Cardiology - April 3, 2024 Category: Cardiology Authors: Bijen Khagi, Tatiana Belousova, Christina M. Short, Addison Taylor, Jean Bismuth, Dipan J. Shah, Gerd Brunner Source Type: research